Comparison
codebase-memory-mcp vs HCP-Coder
Verdict
Pick codebase-memory-mcp if codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary; pick HCP-Coder if hierarchical Context Pruning (HCP) for optimizing real-world code completion tasks with repository-level pre-trained models.
Markdown twin · codebase-memory-mcp alternatives · HCP-Coder alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | codebase-memory-mcp | HCP-Coder |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Dormant (625d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- codebase-memory-mcp
- High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly
- HCP-Coder
- Hierarchical Context Pruning for code completion using pre-trained large language models
Stars
- codebase-memory-mcp
- 35k
- HCP-Coder
- 17
Forks
- codebase-memory-mcp
- 2.8k
- HCP-Coder
- 2
Open issues
- codebase-memory-mcp
- 348
- HCP-Coder
- 1
Language
- codebase-memory-mcp
- C
- HCP-Coder
- Python
Adopt for
- codebase-memory-mcp
- codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary.
- HCP-Coder
- Hierarchical Context Pruning (HCP) for optimizing real-world code completion tasks with repository-level pre-trained models
Persona
- codebase-memory-mcp
- -
- HCP-Coder
- -
Runtime
- codebase-memory-mcp
- -
- HCP-Coder
- -
License
- codebase-memory-mcp
- MIT
- HCP-Coder
- MIT
Last pushed
- codebase-memory-mcp
- Jul 26, 2026
- HCP-Coder
- Nov 17, 2024
Categories
- codebase-memory-mcp
- Data & Retrieval, Developer Tools
- HCP-Coder
- Developer Tools, Model Training
Trust and health
Maintenance
- codebase-memory-mcp
- Very active (96%)
- HCP-Coder
- Dormant (18%)
Days since push
- codebase-memory-mcp
- 0d
- HCP-Coder
- 625d
Open issues (now)
- codebase-memory-mcp
- 348
- HCP-Coder
- 1
OSV dependency advisories
- codebase-memory-mcp
- No lockfile (source not queried)
- HCP-Coder
- Published findings
Full report
- codebase-memory-mcp
- Trust report
- HCP-Coder
- Trust report
Choose codebase-memory-mcp if…
- codebase-memory-mcp is primarily C; HCP-Coder is Python.
- Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis.
- Also covers Data & Retrieval.
- When needing rapid codebase indexing into a knowledge graph with low latency queries
When NOT to use codebase-memory-mcp
- If you demand extensive interactive graphical UI features beyond its command-line interface capabilities
- When your project prioritizes a dynamic runtime environment over static binaries
Choose HCP-Coder if…
- HCP-Coder is primarily Python; codebase-memory-mcp is C.
- Tags unique to HCP-Coder: code-completion, large language models.
- Also covers Model Training.
- When deploying a solution that requires precise and context-aware code completions within the bounds of project repositories, leveraging HCP-Coder can enhance efficiency
When NOT to use HCP-Coder
- Avoid using for smaller projects that do not require extensive context pruning since the setup and overhead might outweigh benefits
- Not ideal when working with languages that lack comprehensive pre-trained models, as HCP-Coder's performance hinges on repository-level pre-training
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DeusData/codebase-memory-mcp) · observed Jul 26, 2026
- GitHub forks (DeusData/codebase-memory-mcp) · observed Jul 26, 2026
- Last push (DeusData/codebase-memory-mcp) · observed Jul 26, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Hambaobao/HCP-Coder) · observed Aug 5, 2026
- GitHub forks (Hambaobao/HCP-Coder) · observed Aug 5, 2026
- Last push (Hambaobao/HCP-Coder) · observed Nov 17, 2024
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: codebase-memory-mcp 35k · HCP-Coder 17 (synced Jul 26, 2026).
Common questions
- What is the difference between codebase-memory-mcp and HCP-Coder?
- codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. HCP-Coder: Hierarchical Context Pruning for code completion using pre-trained large language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose codebase-memory-mcp over HCP-Coder?
- Choose codebase-memory-mcp over HCP-Coder when codebase-memory-mcp is primarily C; HCP-Coder is Python; Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis; Also covers Data & Retrieval; When needing rapid codebase indexing into a knowledge graph with low latency queries.
- When should I choose HCP-Coder over codebase-memory-mcp?
- Choose HCP-Coder over codebase-memory-mcp when HCP-Coder is primarily Python; codebase-memory-mcp is C; Tags unique to HCP-Coder: code-completion, large language models; Also covers Model Training; When deploying a solution that requires precise and context-aware code completions within the bounds of project repositories, leveraging HCP-Coder can enhance efficiency.
- When should I avoid codebase-memory-mcp?
- If you demand extensive interactive graphical UI features beyond its command-line interface capabilities When your project prioritizes a dynamic runtime environment over static binaries
- When should I avoid HCP-Coder?
- Avoid using for smaller projects that do not require extensive context pruning since the setup and overhead might outweigh benefits Not ideal when working with languages that lack comprehensive pre-trained models, as HCP-Coder's performance hinges on repository-level pre-training
- Is codebase-memory-mcp or HCP-Coder more popular on GitHub?
- codebase-memory-mcp has more GitHub stars (35,386 vs 17). Stars measure visibility, not whether either tool fits your constraints.
- Are codebase-memory-mcp and HCP-Coder open source?
- Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, HCP-Coder: MIT).
- Where can I find alternatives to codebase-memory-mcp or HCP-Coder?
- GraphCanon lists graph-backed alternatives at codebase-memory-mcp alternatives and HCP-Coder alternatives (codebase-memory-mcp markdown twin, HCP-Coder markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, codebase-memory-mcp or HCP-Coder?
- codebase-memory-mcp: Very active. HCP-Coder: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for codebase-memory-mcp and HCP-Coder?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codebase-memory-mcp trust report; HCP-Coder trust report.